Top Artificial Intelligence Software Engineer Jobs

Build and ship AI-powered product features across backend, frontend, and deployment layers. Integrate proprietary machine-learning algorithms, LLMs, embeddings, and structured data into trusted product experiences for CPG research and development teams. Work directly with customers, collaborate with ML engineers, make product decisions, and deliver end-to-end software rapidly in a high-agency startup environment.

The Senior Fullstack Software Engineer will design, implement, and maintain features for Conveyor's SaaS platform, involving both backend and frontend work, while collaborating closely with team members and mentoring juniors.

Lead design, build, and scale of Kubbly's messaging AI platform. Own architecture, reliability, observability, databases, integrations, CI/CD, and production systems while shaping product roadmap and engineering culture.

Own end-to-end fullstack development in a monorepo: build web (Next.js/Tailwind) and mobile (React Native/Expo) apps, backend services (NestJS), integrate AI conversational features, secure data systems, manage AWS deployments, develop robust APIs, collaborate cross-functionally, and optimize via data and A/B testing.

Build and maintain responsive, accessible React/NextJS web interfaces and support Chrome extension development (Manifest V3). Integrate with backend APIs or WebSockets, optimize performance, write tests, perform code reviews, monitor and document extension and web app behavior, and collaborate with cross-functional teams.

Design, develop, customize and maintain enterprise Sitecore solutions (versions 9/10, SXA, JSS, XM Cloud). Produce technical specs, implement components, test and debug in test and production, support teammates, perform demos to customers, and escalate/resolve issues.

Build automated mortgage-brokering software using full-stack systems, AI voice agents, browser agents, automated underwriting, and rate-quote experiences. The role involves rapidly learning mortgage operations, developing robust solutions, potentially owning product areas, contributing to recruiting and culture, and possibly progressing into engineering leadership or people management.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Build and iterate on AI-powered recruiting products, advancing LLM and voice capabilities, collaborate with customers to define solutions, and deliver clean, high-quality full-stack code with strong UX focus.

Founding Full-Stack Engineer responsible for owning Maia’s technology direction, developing mobile and backend features, integrating conversational AI, building and iterating on machine learning models, and scaling the product. The role requires close collaboration with founders and designers, rapid experimentation, user feedback analysis, production launches, issue triage, and technical architecture leadership. The position is fully in person in San Francisco.